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Evaluation and Optimization Models

Evaluation and Optimization Models is a research topic within Safety, Risk, Reliability and Quality. Science Explorer counts 33k research works in it since 1960. 9.7% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the comprehensive assessment of safety in energy and infrastructure, covering topics such as coal mine safety, power system risk evaluation, supply chain management, traffic safety assessment, and fault diagnosis using neural networks and fuzzy methods.

  • Safety Assessment
  • Neural Network
  • Risk Evaluation
  • Supply Chain
  • Power System
  • Fuzzy Method
  • Traffic Safety
  • Fault Diagnosis
  • Coal Mine
  • Data Mining
Research works
33k
fractional, since 1960
In the world top 10%
3.2k
per year above
Top-10% rate
9.7%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+30%
the tick is no change
Largest producer
China
89% of the 10 largest, 2022-now
Evaluation and Optimization Models

Which countries lead Evaluation and Optimization Models research?

By volume, China and Indonesia publish the most (1k and 22 works in 2022-now).

By volume, 2022-now

  1. 1 China 1k works
  2. 2 Indonesia 22 works
  3. 3 United States 22 works
  4. 4 India 20 works
  5. 5 ?? 17 works
  6. 6 Vietnam 12 works
  7. 7 Iran 12 works
  8. 8 United Kingdom 11 works
  9. 9 Malaysia 8 works
  10. 10 Australia 6 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

China: 88.7%Indonesia: 2.0%United States: 1.9%India: 1.8%6 others listed: 5.7%89%largest
China1,008 · 88.7%Indonesia22 · 2.0%United States22 · 1.9%India20 · 1.8%6 others listed65 · 5.7%

Shares of the rows listed above, not of the whole node.

Which institutions lead Evaluation and Optimization Models research?

By volume in 2022-now, State Grid Corporation of China (China) publishes the most Evaluation and Optimization Models research, followed by Beijing Jiaotong University and North China Electric Power University.

Who are the leading researchers in Evaluation and Optimization Models?

The most-cited researchers publishing on Evaluation and Optimization Models include Kai You Wang, Hua Zhang and Qiang Zhang.

  1. 1 Kai You Wang China 224k citations
  2. 2 Hua Zhang Singapore 196k citations
  3. 3 Qiang Zhang China 184k citations
  4. 4 Huan Liu Australia 148k citations
  5. 5 Jin Li China 132k citations
  6. 6 Thomas L. Saaty United States 122k citations
  7. 7 Hao Chen China 118k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

What are the most cited papers in Evaluation and Optimization Models?

The most cited paper in Evaluation and Optimization Models is "The Analytic Hierarchy Process—A Survey of the Method and its Applications" (Fatemeh Mariam Zahedi, 1986), with 1,341 citations. Next come "Principal-components analysis and exploratory and confirmatory factor analysis." (1,154) and "Inter-company comparison using modified TOPSIS with objective weights" (1,021).

Most cited papers
#PaperReleasedCitations
1 The Analytic Hierarchy Process—A Survey of the Method and its Applications Fatemeh Mariam Zahedi · INFORMS Journal on Applied Analytics Aug 1986 1,341
2 Principal-components analysis and exploratory and confirmatory factor analysis. Fred B. Bryant, Paul R. Yarnold 1995 1,154
3 Inter-company comparison using modified TOPSIS with objective weights Hepu Deng, Chung‐Hsing Yeh, Robert J. Willis · Computers & Operations Research Sep 2000 1,021
4 A Unified Model of Turnover from Organizations Allen C. Bluedorn · Human Relations Feb 1982 921
5 A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods Chia‐Chi Sun · Expert Systems with Applications 21 May 2010 817
All 100 most cited papers, with filters and sorting

Where is Evaluation and Optimization Models research done?

The largest centres of Evaluation and Optimization Models research in 2022-now are Beijing (China), Xi'an (China), Shanghai (China) and Wuhan (China). Among places with at least 20 works in it, it is an unusually large share of all research in Xi'an, Jinan and Wuhan.

Largest cities, 2022-now

  1. 1 BeijingChina 199 works
  2. 2 Xi'anChina 63 works
  3. 3 ShanghaiChina 61 works
  4. 4 WuhanChina 52 works
  5. 5 GuangzhouChina 37 works
  6. 6 NanjingChina 36 works
  7. 7 ChengduChina 33 works
  8. 8 JinanChina 28 works
  9. 9 ChongqingChina 26 works
  10. 10 ChangshaChina 24 works

Where it is the local speciality

  1. Xi'anCN · 63.2 works7.0×
  2. JinanCN · 28.0 works6.1×
  3. WuhanCN · 52.0 works5.7×
  4. ChongqingCN · 25.8 works5.3×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Evaluation and Optimization Models than the world average.

See Evaluation and Optimization Models on the map

Where is the best place to study Evaluation and Optimization Models?

Among universities, judged by research, China University of Mining and Technology, North China Electric Power University and Central South University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%20%40%mean 15.3556%fractional works in this field (log) →share of work in the world top 10% →China University of …Central South Univer…North China Electric…Beijing Jiaotong Uni…
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1China University of Mining and TechnologyChina 85.737.8%16.3×13 +27.3%
2North China Electric Power UniversityChina 54.17.4%23.6×16 -34.2%
3Central South UniversityChina 49.330.8%4.2×8 +76.0%
4Beijing Jiaotong UniversityChina 46.06.3%26.2×16 -41.9%
5Wuhan University of TechnologyChina 43.08.0%14.8×12 +15.4%
6Liaoning Technical UniversityChina 41.811.7%69.8×12 +902.4%
7Chang'an UniversityChina 37.510.0%28.3×11 +2.3%
8Tongji UniversityChina 32.616.9%5.3×8 -7.0%
9Sichuan UniversityChina 24.19.3%3.9×9 +114.6%

Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in Evaluation and Optimization Models, country by country

Is Evaluation and Optimization Models research growing?

Output in 2022-2025 was 30% higher than in 2018-2021, peaking in 2010. The fastest-growing topics are Evaluation and Optimization Models.

still counting19801990200020102020
grewheldshrank

The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Evaluation and Optimization Models as a percentage of every work published that year, 0.0068% in 2024.

still counting0.050%0.10%0.15%Evaluation and Optimization Models0.0055% in 202519801990200020102020

Fractional works of Evaluation and Optimization Models over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Evaluation and Optimization Models10.6% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.

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